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DEAR
(DATA ENGINEERING AND RESEARCH) GROUP
UNIVERSITY OF PERADENIYA

DEPARTMENT OF COMPUTER ENGINEERING, FACULTY OF ENGINEERING, UNIVERSITY OF PERADENIYA, PERADENIYA, SRI LANKA.
Contact: damayanthiherath@eng.pdn.ac.lk

We are a research group consisting of faculty, students and external collaborators trying to push the boundaries of data engineering and research.Its a friendly place for all enthusiasts share and learn Data Engineering. We operate similar to a reading group with Cake!!

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RESEARCH AREAS

This is a non exhaustive list of our ongoing projects.

Theoretical advancements in Machine Learning

Computational Biology

Machine learning for comparative analysis of metagenomic samples
Biomarker identification for Alzhemizers disease using DNA sequencing data [1,2]
Automated Protein function prediction using Machine Learning techniques
Interpretable ML in inference from sequencing data [8]
Recovering more sequences from long-reads sequencing experiments
1. Even though the recent long-reads sequencers can result in longer reads compared to Illumnina sequencing, the accuracy of the reads from the former is a lower and the amount of reads discarded due to the error is higher. In this work, we ll work on developing a method to improve the yield of long reads from sequencing metagenomic samples.
  1. Comparative analysis of downstream analysis results when using reads thresholded at different quality levels: Q=20, Q=10, etc.
  2. Deep Learning based approach for error correction in quality reads (with Q20)
  3. Machine learning based approach for recovering more reads including the reads with lower quality threshold.
Visualisation techniques for comparative analysis of metagenomic samples
1. There exist more powerful dimensionality reduction techniques than PCA which can be used to compare across metagenomic samples. In this work, we'll analyze metagenomic samples gathered from multiple environments using such methods for visualisation. An example datasets that can be used are soil samples, Coral samples , cancer related sample
From relative abundance to absolute abundance
1. It is more useful to learn the absolute abundance of species in a metagenomic sample than learning the relative abundance of species in the sample, which will be beneficial in comparative analysis of the samples. This works aims to develop a method to estimate absolute abundance of species in a metagenomic sample using DNA sequencing data.

Computer Vision

AI for Agriculture

Education

Transportation

Security

Collaborating with Mathematics

PEOPLE

FACULTY LECTURERS

Dr. Damayanthi Herath

senior lecturer

Contact

Mr. Sampath Deegalla

senior lecturer

Prof. Roshan Ragel

senior lecturer

COLLABORATORS

Prof. Mahesan Niranjan

Professor at University of Southampton

Dr. Rajitha Navarathna

Principle Data Scientist, OCTAVE

Dr. Upul Senanayake

Head of Data and Analytics, CPT at Macquarie Group

Dr. Shamne Sri

Head of Applied NLP Research @ Arcee.ai

REFERENCES

Perera S. , Hewage K. , Gunarathne C. , Navarathna R. , Herath D. and Ragel R.G. 2020, July.

Detection of Novel Biomarker Genes of Alzheimer's Disease Using Gene Expression Data. In 2020 Moratuwa Engineering Research Conference (MERCon)(pp. 1-6). IEEE.
Dinuwanthi, Imalsha, et al.

"Revealing MicroRNA Biomarkers for Alzheimer's Disease Using Next Generation Sequencing Data." 2021 10th International Conference on Information and Automation for Sustainability (ICIAfS). IEEE, 2021.
Deshan, LA Chamli, MK Hans Thisanke, and Damayanthi Herath.

"Transfer Learning for Accurate and Efficient Tomato Plant Disease Classification Using Leaf Images. " 2021 IEEE 16th International Conference on Industrial and Information Systems (ICIIS). IEEE, 2021.
Herath D. , Jayasinghe J. , Premarathne U.K. 2022.

Forecasting electricity power generation of Pawan Danavi wind farm, Sri Lanka using gene-expression programming, Applied Computational Intelligence and Soft Computing Journal.
Jayasundara, Shyaman, Amila Indika, and Damayanthi Herath.

"Interpretable Student Performance Prediction Using Explainable Boosting Machine for Multi-Class Classification." 2022 2nd International Conference on Advanced Research in Computing (ICARC). IEEE, 2022.
Herath D. , Jayasundara D. , Ackland D. , Saeed I. , Tang S.L. and Halgamuge S. 2017.

Assessing species diversity using Metavirome data: methods and challenges. Computational and structural biotechnology journal, 15, pp.447-455.
N Ranasinghe, A Ramanan, S Fernando, PN Hameed, D Herath, T Malepathirana, P Suganthan, M Niranjan, S Halgamuge.

Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications, Journal of National Science Foundation, Sri Lanka.
Jayasundara D. , Herath D. , Senanayake D. , Saeed I. , Yang C.Y. , Sun Y. , Chang B.C. , Tang S.L. and Halgamuge S.K. 2019.

ENVirT: inference of ecological characteristics of viruses from metagenomic data. BMC bioinformatics, 19(13), pp.1-12.

JOIN US

Are you passionate about solving real-world problems with Machine Learning?

Do you enjoy exploring and sharing knowledge in this ever-evolving field? If so, the DEAR (Data Engineering And Research) group at the University of Peradeniya invites you to join us!

Why Join Us?

Diverse Projects: Engage in a variety of projects ranging from theoretical advancements in Machine Learning to practical applications in computational biology, computer vision, AI for agriculture, education, transportation, and security.
Collaborative Environment: Work alongside esteemed professors and industry experts, including Dr. Damayanthi Herath, Mr. Sampath Deegalla, and Prof. Roshan Ragel, as well as our collaborators from various institutions.
Innovative Research: Contribute to cutting-edge research that aims to make significant impacts in multiple domains.
Community and Learning: Be part of a vibrant community that encourages learning, collaboration, and innovation.

How to Join?

Send Us an Email: If you are interested in joining our group, please send an email to Dr. Damayanthi Herath at damayanthiherath@eng.pdn.ac.lk.
Join Our WhatsApp Group: Stay updated and connected with our community by joining our WhatsApp group.

OUR MOTTO

“Fall in love with the problem, not the solution.”

Come, let’s solve problems together and push the boundaries of Machine Learning!

We look forward to welcoming you to our team.

Web Masters

This website is maintained by VITHUSHAN E.T.L. AND ENIYAVAN T. [Department of Computer Engineering, Univeristy of Peradeniya]

Last Update : 27-07-2024

If you have any concerns or issues with this website, please contact to Dr. Damayanthi Herath.
This website is monitored by DEAR group.

DEAR (DATA ENGINEERING AND RESEARCH) GROUP UNIVERSITY OF PERADENIYA

DEPARTMENT OF COMPUTER ENGINEERING, FACULTY OF ENGINEERING, UNIVERSITY OF PERADENIYA, PERADENIYA, SRI LANKA. Contact: damayanthiherath@eng.pdn.ac.lk

RECENT UPDATES

RESEARCH AREAS

Theoretical advancements in Machine Learning

Computational Biology

Computer Vision

AI for Agriculture

Education

Transportation

Security

Collaborating with Mathematics

PEOPLE

FACULTY LECTURERS

Dr. Damayanthi Herath

Mr. Sampath Deegalla

Prof. Roshan Ragel

COLLABORATORS

Prof. Mahesan Niranjan

Dr. Rajitha Navarathna

Dr. Upul Senanayake

Dr. Shamne Sri

REFERENCES

Perera S. , Hewage K. , Gunarathne C. , Navarathna R. , Herath D. and Ragel R.G. 2020, July.

Dinuwanthi, Imalsha, et al.

Deshan, LA Chamli, MK Hans Thisanke, and Damayanthi Herath.

Herath D. , Jayasinghe J. , Premarathne U.K. 2022.

Jayasundara, Shyaman, Amila Indika, and Damayanthi Herath.

Herath D. , Jayasundara D. , Ackland D. , Saeed I. , Tang S.L. and Halgamuge S. 2017.

N Ranasinghe, A Ramanan, S Fernando, PN Hameed, D Herath, T Malepathirana, P Suganthan, M Niranjan, S Halgamuge.

Jayasundara D. , Herath D. , Senanayake D. , Saeed I. , Yang C.Y. , Sun Y. , Chang B.C. , Tang S.L. and Halgamuge S.K. 2019.

JOIN US

Why Join Us?

How to Join?

OUR MOTTO

Web Masters

DEAR
(DATA ENGINEERING AND RESEARCH) GROUP
UNIVERSITY OF PERADENIYA

DEPARTMENT OF COMPUTER ENGINEERING, FACULTY OF ENGINEERING, UNIVERSITY OF PERADENIYA, PERADENIYA, SRI LANKA.
Contact: damayanthiherath@eng.pdn.ac.lk